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Record W167523286

Apprendre le langage en ayant du plaisir -le programme de Hanen pour éducateurs de jeunes enfants : une formation interne dans les crèches, visant à faciliter le développement des compétences sociales et du langage oral et écrit

2000· article· fr· W167523286 on OpenAlexaboutno aff
Elaine Weitzman

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Etant donne que de nombreux enfants passent un temps considerable en creche et en garderie, et qu'on en connait les effets defavorables lorsque les soins sont de mauvaise qualite, il est primordial qu'une attention de qualite soit assuree par une formation interne. Apprendre le langage en ayant du plaisir - le programme de Hanen pour educateurs de jeunes enfants donne aux educateurs (puericultrices, auxiliaires puericultrices, enseignants) de ces structures une formation interne intensive visant a favoriser le developpement des competences sociales et du langage oral et ecrit chez l'enfant. Ce programme a ete developpe au Centre de Hanen a Toronto, au Canada ; il est dirige par un(e) orthophoniste du centre et comprend sept seances de formation en groupe et six seances individuelles avec l'educateur, avec feed-back par video. Ce programme de developpement du langage enseigne de maniere intensive et par l'experience des strategies et pratiques favorisant les interactions sociales et l'apprentissage du langage oral et ecrit dans le contexte des activites quotidiennes de l'enfant. Cet article decrit le contenu et la structure de ce Programme de Hanen. il retrace egalement l'evolution d'un petit enfant avec un retard de developpement et de son educatrice, qui grâce au Programme de'Hanen a appris a promouvoir les interactions et l'apprentissage du langage, en ameliorant la qualite de ses reponses et l'adequation developpementale des activites proposees, et en apportant des modeles de langage calibres.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.139
GPT teacher head0.396
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2000
Admission routes1
Has abstractyes

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Same topicEducational and Psychological AssessmentsFrench-language works237,207